PhD Courses in Denmark

Welcome to Geospatial Data and Models for Decision Making

Description: Optimal and efficient Land use and Sea use planning require developing spatial decision support systems in which various geographical, attribute, and quantitative datasets can be integrated and overlaid. Doing so will enable relevant decision-makers and stakeholders to contribute to the decision-making process while being able to trace the entire process and interactively visualize the outcomes of different scenarios.
This PhD course aims to introduce students to various methodologies for designing and implementing spatial decision support systems for land use planning and maritime spatial planning while considering climate change and its future effects on nature, society, and land and marine ecosystems. The course will include hands-on examples brought forward by participants and will provide an overview of existing decision support systems, discussing relevant evaluation criteria, decision alternatives, and the uncertainties associated with them.

Prerequisites: The ability and passion to address societal challenges using decision support systems in a data-driven manner.

Learning objectives: Comprehend the theoretical foundations and essential components of spatial decision support systems (SDSS) for land and sea use planning. Identify, assess, and integrate geospatial and non-spatial datasets relevant to decision-making processes. Apply spatial analysis techniques and utilize multi-criteria decision analysis (MCDA) to evaluate planning alternatives and prioritize actions. Investigate the use of AI and GeoAI methods in spatial modelling and decision-support contexts. Critically evaluate the role of SDSS in their own research and apply course concepts to a case study.

For additional information, updates, and registration, please refer to AAU PhD Moodle via the link provided on the right side of this page.